Lead the design and implementation of MLOps solutions, improve system stability and efficiency, build data pipelines, and automate model deployment.
Job Responsibilities
- Lead the design, development and implementation of on-premise and cloud MLOps solutions that support the delivery of machine learning model.
- Improve stability, security, efficiency and scalability of systems.
- Build scalable and efficient data pipelines and model training and deployment systems.
- Develop and maintain monitoring and management tools to ensure the reliability and performance of on-premises MLOps infrastructure.
- Drive automation initiatives for model deployment and infrastructure provisioning.
Qualifications
- Master’s degree in Computer Science or related field.
- 4 years of related experience.
- Required skills:
- Application development with object-oriented programming languages, including Python/Java (4 yrs).
- Experience building ETL workflows, data warehouse solutions, and data management using AWS GLUE, Spark, Kafka, RDBMS, HDFS, and BigQuery (4 yrs).
- Experience in developing and maintaining full model lifecycle solutions, including model training, evaluation, inference, deployment, and monitoring using ML frameworks including PyTorch/TensorFlow, workflow orchestration tools including Kubeflow/Airflow, cloud workflow platforms including Databricks/SageMaker, and APM monitoring tools including Grafana and Datadog (4 yrs).
- Build infrastructure and SDK tooling to provide data scientists and ML Engineers with access to specialized data augmentation, curation, and visualization tools for CVML model development (3 yrs).
- Create CI/CD build and release pipelines with GitLab/GitHub/Jenkins for code and model deployment, and using Terraform/CloudFormation for infrastructure deployment (2 yrs).
- Analyze and build job orchestration services to scale machine learning tasks on both on-premises and cloud infrastructure in a cost-effective way, including Kubernetes, Airflow, GCP Composer, and Kubeflow (3 yrs).
- Experience with container orchestration with Kubernetes, microservices architecture, and cloud platforms including AWS and GCP (3 yrs).
- This is a 100% remote position.
Full time. $226,158 - $275,000/year. Please visit https://bluerivertechnology.com/join-us/ to apply.
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Top Skills
Airflow
Aws Glue
BigQuery
CloudFormation
Databricks
Datadog
GCP
Git
Gitlab
Grafana
Hdfs
Java
Jenkins
Kafka
Kubeflow
Kubernetes
Python
PyTorch
Rdbms
Sagemaker
Spark
TensorFlow
Terraform
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